mirror of
https://github.com/taosdata/TDengine
synced 2026-05-24 10:09:01 +00:00
183 lines
8.7 KiB
Python
183 lines
8.7 KiB
Python
import time
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import math
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from new_test_framework.utils import tdLog, tdSql, clusterComCheck, tdStream, StreamItem
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class TestStreamDevBasic:
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def setup_class(cls):
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tdLog.debug(f"start to execute {__file__}")
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def test_stream_dev_basic(self):
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"""basic test
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Verification testing during the development process.
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Catalog:
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- Streams:Others
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Since: v3.3.3.7
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Labels: common,ci
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Jira: None
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History:
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- 2025-5-26 Simon Guan Created
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"""
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self.createSnode()
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self.createDatabase()
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self.prepareQueryData()
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self.prepareTriggerTable()
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self.createStreams()
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self.checkStreamStatus()
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self.writeTriggerData()
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self.checkResults()
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def createSnode(self):
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tdLog.info("create snode")
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tdStream.createSnode(1)
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def createDatabase(self):
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tdLog.info(f"create database")
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tdSql.prepare(dbname="qdb", vgroups=1)
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tdSql.prepare(dbname="tdb", vgroups=1)
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tdSql.prepare(dbname="rdb", vgroups=1)
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clusterComCheck.checkDbReady("qdb")
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clusterComCheck.checkDbReady("tdb")
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clusterComCheck.checkDbReady("rdb")
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def prepareQueryData(self):
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tdLog.info("prepare child tables for query")
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tdStream.prepareChildTables(tbBatch=1, rowBatch=1, rowsPerBatch=400)
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tdLog.info("prepare normal tables for query")
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tdStream.prepareNormalTables(tables=10, rowBatch=1)
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tdLog.info("prepare virtual tables for query")
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tdStream.prepareVirtualTables(tables=10)
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tdLog.info("prepare json tag tables for query, include None and primary key")
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tdStream.prepareJsonTables(tbBatch=1, tbPerBatch=10)
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tdLog.info("prepare view")
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tdStream.prepareViews(views=5)
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def prepareTriggerTable(self):
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tdLog.info("prepare tables for trigger")
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stb = "create table tdb.triggers (ts timestamp, c1 int, c2 int) tags(id int, name varchar(16));"
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ctb = "create table tdb.t1 using tdb.triggers tags(1, '1') tdb.t2 using tdb.triggers tags(2, '2') tdb.t3 using tdb.triggers tags(3, '3')"
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tdSql.execute(stb)
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tdSql.execute(ctb)
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ntb = "create table tdb.n1 (ts timestamp, c1 int, c2 int)"
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tdSql.execute(ntb)
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vstb = "create stable tdb.vtriggers (ts timestamp, c1 int, c2 int) tags(id int) VIRTUAL 1"
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vctb = "create vtable tdb.v1 (tdb.t1.c1, tdb.t2.c2) using tdb.vtriggers tags(1)"
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tdSql.execute(vstb)
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tdSql.execute(vctb)
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def writeTriggerData(self):
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tdLog.info("write data to trigger table")
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sqls = [
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"insert into tdb.t1 values ('2025-01-01 00:00:00', 0, 0 ) ('2025-01-01 00:05:00', 5, 50 ) ('2025-01-01 00:10:00', 10, 100)",
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"insert into tdb.t2 values ('2025-01-01 00:11:00', 11, 110) ('2025-01-01 00:12:00', 12, 120) ('2025-01-01 00:15:00', 15, 150)",
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"insert into tdb.t3 values ('2025-01-01 00:21:00', 21, 210)",
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"insert into tdb.n1 values ('2025-01-01 00:25:00', 25, 250) ('2025-01-01 00:26:00', 26, 260) ('2025-01-01 00:27:00', 27, 270)",
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"insert into tdb.t1 values ('2025-01-01 00:30:00', 30, 300) ('2025-01-01 00:32:00', 32, 320) ('2025-01-01 00:36:00', 36, 360)",
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"insert into tdb.n1 values ('2025-01-01 00:40:00', 40, 400) ('2025-01-01 00:42:00', 42, 420)",
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]
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tdSql.executes(sqls)
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def checkStreamStatus(self):
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tdLog.info(f"wait total:{len(self.streams)} streams run finish")
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tdStream.checkStreamStatus()
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def checkResults(self):
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tdLog.info(f"check total:{len(self.streams)} streams result")
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for stream in self.streams:
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stream.checkResults()
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def createStreams(self):
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self.streams = []
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# stream = StreamItem(
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# id=19,
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# stream="create stream rdb.s19 interval(5m) sliding(5m) from tdb.triggers partition by id into rdb.r19 as select _twend tw, sum(c1) sumcnt from (select tbname, count(*) c1 from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:05:00.000' and tint=%%1 partition by tbname)",
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# res_query="select tw, sumcnt from rdb.r19 where id = 1",
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# exp_query="select _wend, count(*) from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:35:00.000' and tint=1 interval(5m)",
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# )
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# stream = StreamItem(
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# id=20,
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# stream="create stream rdb.s20 interval(5m) sliding(5m) from tdb.triggers partition by id, name into rdb.r20 as select _twend tw, count(*) c1, _tgrpid tg, _tlocaltime tl from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:05:00.000' and tint=%%1;",
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# res_query="select tw, c1, id, name from rdb.r20 where id=1",
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# exp_query="select _wend, count(*) cnt, 1, '1' from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:35:00.000' and tint=1 interval(5m)",
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# )
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# stream = StreamItem(
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# id=21,
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# stream="create stream rdb.s21 sliding(5m) from tdb.n1 into rdb.r21 as select _tprev_ts tw, count(*) c1, _tgrpid tg, _tlocaltime tl from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:05:00.000'",
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# res_query="select tw, c1, tg from rdb.r21",
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# exp_query="select _wend, count(*) cnt, 0 from qdb.meters where cts >= '2025-01-01 00:20:00.000' and cts < '2025-01-01 00:35:00.000' interval(5m);",
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# )
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# stream = StreamItem(
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# id=22,
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# stream="create stream rdb.s22 interval(5m) sliding(5m) from tdb.triggers into rdb.r22 as select _twend tw, sum(cint) c1, _tgrpid tg, _tlocaltime tl from qdb.meters where cts >= _twstart and cts < _twend",
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# res_query="select tw, c1 from rdb.r22;",
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# exp_query="select _wend, sum(cint) from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:35:00.000' interval(5m);",
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# )
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# stream = StreamItem(
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# id=23,
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# stream="create stream rdb.s23 interval(5m) sliding(5m) from tdb.triggers partition by tbname into rdb.r23 as select _twend tw, sum(cint) c1, _tgrpid tg, _tlocaltime tl from qdb.meters where cts >= _twstart and cts < _twend and tbname=%%tbname partition by tbname",
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# res_query="select tw, c1, tag_tbname from rdb.r23 where tag_tbname='t1';",
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# exp_query="select _wend, sum(cint), tbname from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:35:00.000' and tbname='t1' partition by tbname interval(5m);",
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# )
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# stream = StreamItem(
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# id=24,
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# stream="create stream rdb.s24 interval(5m) sliding(5m) from tdb.triggers partition by id into rdb.r24 as select _twend tw, sum(cint) c1, %%1 c2 from qdb.meters where cts >= _twstart and cts < _twend and tint=%%1 partition by tint",
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# res_query="select tw, c1, c2, id from rdb.r24 where id=1;",
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# exp_query="select _wend, sum(cint), tint, tint from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:35:00.000' and tint=1 partition by tint interval(5m);",
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# )
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# stream = StreamItem(
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# id=26,
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# stream="create stream rdb.s26 interval(5m) sliding(5m) from tdb.triggers into rdb.r26 as select _twstart tw, sum(cint) c1, tbname from qdb.meters where cts >= _twstart and cts < _twend and tbname='t18' partition by tbname",
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# res_query="select * from rdb.r26",
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# exp_query="select _wstart, sum(cint), tbname from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:35:00.000' and tbname='t18' partition by tbname interval(5m);",
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# )
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stream = StreamItem(
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id=205,
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stream="create stream rdb.s205 interval(5m) sliding(5m) from tdb.triggers partition by tbname into rdb.r205 as select _twstart, sum(cint), FIRST(cint) from qdb.meters interval(2m)",
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res_query="select * from rdb.r205",
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exp_query="select sum(cint) cnt from qdb.meters where cts >= '2025-01-01 00:00:00.000' and cts < '2025-01-01 00:05:00.000'",
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)
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self.streams.append(stream)
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tdLog.info(f"create total:{len(self.streams)} streams")
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for stream in self.streams:
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stream.createStream()
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def check11(self):
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tdSql.checkTableSchema(
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dbname="rdb",
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tbname="r11",
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schema=[
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["tp", "TIMESTAMP", 8, ""],
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["tc", "TIMESTAMP", 8, ""],
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["tn", "TIMESTAMP", 8, ""],
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["tg", "BIGINT", 8, ""],
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["tl", "TIMESTAMP", 8, ""],
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["c1", "BIGINT", 8, ""],
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["c2", "DOUBLE", 8, ""],
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],
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)
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